Make your content machine readable
Open access content hosted in repository and journal platforms is
typically not easily usable in analytical, text and data mining
tasks. However, creators of innovative research tools, funders and
researchers themselves frequently need research content in a
well-structured machine readable format, a prerequisite for a wide
range of use cases, including domain specific research search
engines, plagiarism detection, fact checking and misinformation
detection, research graphs, rapid systematic reviews, detection of
research trends, research assessment, identifying suitable
peer-reviewers, recommender systems, innovation engineering,
compliance monitoring, etc. CORE provides access to open access
content in a machine readable format doing all the heavy lifting
with the help of AI. This involves harmonising metadata, cleaning
and creating a structured representation of scholarly data.